Sentence examples for classification of staining from inspiring English sources

Fascin expression levels were scored based on staining intensity and area of tumor cells using a weighted histoscore calculated from the sum of (1 × % weak staining) + (2 × % moderate staining) + (3 × % strong staining), providing a semi-quantitative classification of staining intensity.

The analyses included the classification of staining as strongly, moderately and weakly positive, the number of negative cells, the analyzed area, and the ratio of the number of positive/total number of cells.

This provides a semi-quantitative classification of staining intensity, with the maximum score being 300 (if 100% of cells stain strongly positive) and minimum score being 0 (if 100% or cells are negative).

Lkb1, p21, and p53 expression levels were scored based on staining intensity and area of tumor cells using a weighted histoscore calculated from the sum of (1 × % weak staining) + (2 × % moderate staining) + (3 × % strong staining), providing a semi-quantitative classification of staining intensity.

For the classification of staining, a staining result ⩽4 indicates a low level of expression, whereas a staining score >4 represents a high level of expression.

On the basis of a binary classification of staining intensities ('low': covering scores 0 and 1, and 'high': scores 2 and 3, respectively), high expression (cytosolic localisation) of STAT1 was found in 35% of the tumour samples, high potential transcriptional activity (nuclear localisation) was observed in 48% of cases.

For the HSI model, classification of stains is based on two dimensions, hue (dominant wavelength) and saturation (purity of the colour).

In this paper, we propose a novel linear local distance coding (LLDC) method to increase the accuracy of staining patterns classification.

Due to the great impact of staining pattern classification of HEp-2 cells on clinical practice, to make the comparisons among different approaches available, the first edition of the HEp-2 Cells Classification Contest hosted by the International Conference on Pattern Recognition (ICPR) 2012 with a publicly available HEp-2 cell database (ICPR 2012 dataset) was released.

Immunoreactivity for SNCG in tumour cells was graded as either negative or positive according to a four-value classification scale as follows: area of staining as <10percentt (0) or >10percentt (1) of all cancer cells stained within the section, staining intensity (>10% of all cancer cells stained within the section) was graded as weak (1), moderate (2), or strong (3).

Immunophenotyping is the process of staining and analyzing these cells by flow cytometry for enumeration and classification.